| The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data G Pastorello, C Trotta, E Canfora, H Chu, D Christianson, YW Cheah, ... Scientific data 7 (1), 225, 2020 | 964 | 2020 |
| Using digital repeat photography and eddy covariance data to model grassland phenology and photosynthetic CO2 uptake M Migliavacca, M Galvagno, E Cremonese, M Rossini, M Meroni, ... Agricultural and Forest Meteorology 151 (10), 1325-1337, 2011 | 279 | 2011 |
| Phenopix: AR package for image-based vegetation phenology G Filippa, E Cremonese, M Migliavacca, M Galvagno, M Forkel, L Wingate, ... Agricultural and Forest Meteorology 220, 141-150, 2016 | 192 | 2016 |
| The three major axes of terrestrial ecosystem function M Migliavacca, T Musavi, MD Mahecha, JA Nelson, J Knauer, ... Nature 598 (7881), 468-472, 2021 | 172 | 2021 |
| Interpreting canopy development and physiology using a European phenology camera network at flux sites L Wingate, J Ogée, E Cremonese, G Filippa, T Mizunuma, M Migliavacca, ... Biogeosciences 12 (20), 5995-6015, 2015 | 155 | 2015 |
| Remote sensing of larch phenological cycle and analysis of relationships with climate in the Alpine region L Busetto, R Colombo, M Migliavacca, E Cremonese, M Meroni, ... Global change biology 16 (9), 2504-2517, 2010 | 136 | 2010 |
| The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data, Sci. Data, 7, 225 G Pastorello, C Trotta, E Canfora, H Chu, D Christianson, YW Cheah, ... | 134 | 2020 |
| Phenology and carbon dioxide source/sink strength of a subalpine grassland in response to an exceptionally short snow season M Galvagno, G Wohlfahrt, E Cremonese, M Rossini, R Colombo, G Filippa, ... Environmental Research Letters 8 (2), 025008, 2013 | 130 | 2013 |
| Remote sensing-based estimation of gross primary production in a subalpine grassland M Rossini, S Cogliati, M Meroni, M Migliavacca, M Galvagno, L Busetto, ... Biogeosciences 9 (7), 2565-2584, 2012 | 124 | 2012 |
| NDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional types G Filippa, E Cremonese, M Migliavacca, M Galvagno, O Sonnentag, ... Agricultural and Forest Meteorology 249, 275-285, 2018 | 115 | 2018 |
| Global transpiration data from sap flow measurements: the SAPFLUXNET database R Poyatos, V Granda, V Flo, MA Adams, B Adorján, D Aguadé, MPM Aidar, ... Earth System Science Data Discussions 2020, 1-57, 2020 | 109 | 2020 |
| Using digital camera images to analyse snowmelt and phenology of a subalpine grassland T Julitta, E Cremonese, M Migliavacca, R Colombo, M Galvagno, ... Agricultural and Forest Meteorology 198, 116-125, 2014 | 92 | 2014 |
| Saharan dust events in the European Alps: role in snowmelt and geochemical characterization B Di Mauro, R Garzonio, M Rossini, G Filippa, P Pogliotti, M Galvagno, ... The Cryosphere 13 (4), 1147-1165, 2019 | 91 | 2019 |
| Using near-infrared-enabled digital repeat photography to track structural and physiological phenology in Mediterranean tree–grass ecosystems Y Luo, TS El-Madany, G Filippa, X Ma, B Ahrens, A Carrara, ... Remote Sensing 10 (8), 1293, 2018 | 90 | 2018 |
| European larch phenology in the Alps: can we grasp the role of ecological factors by combining field observations and inverse modelling? M Migliavacca, E Cremonese, R Colombo, L Busetto, M Galvagno, ... International journal of biometeorology 52, 587-605, 2008 | 81 | 2008 |
| Heat wave hinders green wave: The impact of climate extreme on the phenology of a mountain grassland E Cremonese, G Filippa, M Galvagno, C Siniscalco, L Oddi, UM di Cella, ... Agricultural and Forest Meteorology 247, 320-330, 2017 | 80 | 2017 |
| The hyperspectral irradiometer, a new instrument for long-term and unattended field spectroscopy measurements M Meroni, A Barducci, S Cogliati, F Castagnoli, M Rossini, L Busetto, ... Review of Scientific Instruments 82 (4), 2011 | 76 | 2011 |
| Influence of physiological phenology on the seasonal pattern of ecosystem respiration in deciduous forests M Migliavacca, M Reichstein, AD Richardson, MD Mahecha, ... Global Change Biology 21 (1), 363-376, 2015 | 67 | 2015 |
| Revisiting the choice of the driving temperature for eddy covariance CO2 flux partitioning G Wohlfahrt, M Galvagno Agricultural and Forest Meteorology 237, 135-142, 2017 | 59 | 2017 |
| The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data, Scientific Data, 7, 225 G Pastorello, C Trotta, E Canfora, H Chu, D Christianson, YW Cheah, ... | 57 | 2020 |
Edoardo CremoneseCIMA Research FoundationVerified email at cimafoundation.org
